"The industry is transforming from financial to intelligent. Recently, during the "Intelligent Convergence Future - 2023 Artificial Intelligence Achievement Exhibition", Guo Quanzhong, a professor at the School of Journalism and Communication of Minzu University, said in an interview with People's Daily Online that financial integration is the integration of media forms at the same level, and intelligence is the evolution of media forms to a higher level.
In today's vigorous development of artificial intelligence, there are both opportunities and challenges. Guo Quanzhong said that first of all, artificial intelligence technology can establish a direct connection between the first and the user, so as to provide users with a better experience and content productsSecondly, the iteration of artificial intelligence technology, especially algorithm recommendation, intelligent distribution, marketing strategy customization, etc., will help the production, distribution and operation of first-class content, and bring huge new opportunities for the integrated development of first-class development.
Regarding the challenges brought by artificial intelligence to the industry, Guo Quanzhong said that it mainly focuses on two aspects: concept change and R&D funding. At present, many people have not regarded technology as a core driving force, and their main energy is still only focused on news content, resulting in insufficient attention to technology. In addition, training large models requires a lot of investment in technology, manpower, equipment, etc., which is relatively expensive for many mainstream models, and it is necessary to find a solution.
Data is one of the important element resources of current development, specifically, how to do a good job in data-related products?
Guo Quanzhong concluded that in order to do a good job in data products, the mainstream must first solve the problem of data sources, so as to truly understand user needs and provide corresponding services. At the same time, with the continuous development of generative AI, there is also an important problem with large models, which is value alignment, which also requires a large amount of data to be trained, so as to truly make AI good and match the right values.
*: People's Daily Online.